Luc De Raedt

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Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
Angelika KimmigKU LeuvenVerified email at cs.kuleuven.be
Siegfried NijssenICTEAM, EPL, Université catholique de Louvain; Universiteit LeidenVerified email at uclouvain.be
Maurice BruynoogheProfessor Em. of Computer Science, KULeuvenVerified email at cs.kuleuven.be
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Tias GunsVUBVerified email at vub.ac.be
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Paolo FrasconiProfessor of Computer Science, Università di FirenzeVerified email at dsi.unifi.it
Anton DriesNokia Bell LabsVerified email at nokia-bell-labs.com
Niels LandwehrProfessor, University of HildesheimVerified email at uni-hildesheim.de
Jan RamonERC principal investigator, KU Leuven, BelgiumVerified email at cs.kuleuven.be
Stefan KramerProfessor of Computer Science, Johannes Gutenberg University MainzVerified email at informatik.uni-mainz.de
Saso DzeroskiJozef Stefan Institute, Dept. of Knowledge TechnologiesVerified email at ijs.si
Wannes MeertDTAI, KU LeuvenVerified email at cs.kuleuven.be
Hannu (TT) ToivonenProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Robin ManhaeveDTAI, KU LeuvenVerified email at cs.kuleuven.be
Jesse DavisProfessor, Department of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Laura AntanasKULVerified email at cs.kuleuven.be

Luc De Raedt

professor, KU Leuven & guestprofessor, Örebro University

Verified email at cs.kuleuven.be - Homepage

artificial intelligence machine learning statistical relational AI probabilistic programming neurosymbolic ai


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Inductive logic programming: Theory and methods S Muggleton, L De Raedt The Journal of Logic Programming 19, 629-679, 1994	2164	1994
Top-down induction of first-order logical decision trees H Blockeel, L De Raedt Artificial intelligence 101 (1-2), 285-297, 1998	1023	1998
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery. L De Raedt, A Kimmig, H Toivonen IJCAI 7, 2462-2467, 2007	874	2007
Logical and relational learning L De Raedt Springer Science & Business Media, 2008	620	2008
Top-down induction of clustering trees H Blockeel, L De Raedt, J Ramon arXiv preprint cs/0011032, 2000	593	2000
Probabilistic inductive logic programming LD Raedt, K Kersting Probabilistic inductive logic programming, 1-27, 2008	564*	2008
Relational reinforcement learning S Džeroski, L De Raedt, K Driessens Machine learning 43 (1), 7-52, 2001	562	2001
Clausal discovery L De Raedt, L Dehaspe Machine Learning 26 (2), 99-146, 1997	387	1997
Adaptive Bayesian logic programs K Kersting, LD Raedt International Conference on Inductive Logic Programming, 104-117, 2001	371	2001
Mining association rules in multiple relations L Dehaspe, LD Raedt International Conference on Inductive Logic Programming, 125-132, 1997	327	1997
Deepproblog: Neural probabilistic logic programming R Manhaeve, S Dumancic, A Kimmig, T Demeester, L De Raedt Advances in Neural Information Processing Systems 31, 2018	319	2018
Inference and learning in probabilistic logic programs using weighted Boolean formulas D Fierens, G Van den Broeck, J Renkens, D Shterionov, B Gutmann, ... Theory and Practice of Logic Programming 15 (3), 358-401, 2015	316	2015
Data mining and machine learning techniques for the identification of mutagenicity inducing substructures and structure activity relationships of noncongeneric compounds C Helma, T Cramer, S Kramer, L De Raedt Journal of chemical information and computer sciences 44 (4), 1402-1411, 2004	307	2004
Interactive theory revision: An inductive logic programming approach L De Raedt Academic Press Ltd., 1992	302	1992
Molecular feature mining in HIV data S Kramer, L De Raedt, C Helma Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001	285	2001
Statistical relational artificial intelligence: Logic, probability, and computation LD Raedt, K Kersting, S Natarajan, D Poole Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016	274	2016
Multi instance neural networks J Ramon, L De Raedt Proceedings of the ICML-2000 workshop on attribute-value and relational …, 2000	242	2000
First-order jk-clausal theories are PAC-learnable L De Raedt, S Džeroski Artificial Intelligence 70 (1-2), 375-392, 1994	227	1994
Itemset mining: A constraint programming perspective T Guns, S Nijssen, L De Raedt Artificial Intelligence 175 (12-13), 1951-1983, 2011	224	2011
Logical settings for concept-learning L De Raedt Artificial Intelligence 95 (1), 187-201, 1997	221	1997

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